22 citations · 32 across the 8 of their papers we have counts for
8 papers
TrojText: Test-time Invisible Textual Trojan Insertion
Qian Lou, Yepeng Liu, Bo Feng
In Natural Language Processing (NLP), intelligent neuron models can be susceptible to textual Trojan attacks. Such attacks occur when Trojan models behave normally for standard inp…
GTrans: Spatiotemporal Autoregressive Transformer with Graph Embeddings for Nowcasting Extreme Events
Bo Feng, Geoffrey Fox
Spatiotemporal time series nowcasting should preserve temporal and spatial dynamics in the sense that generated new sequences from models respect the covariance relationship from h…
Earthquake Nowcasting with Deep Learning
Geoffrey Fox, John Rundle, Andrea Donnellan +1
We review previous approaches to nowcasting earthquakes and introduce new approaches based on deep learning using three distinct models based on recurrent neural networks and trans…
Spatial Attention-based Non-reference Perceptual Quality Prediction Network for Omnidirectional Images
Li Yang, Mai Xu, Deng Xin +1
Due to the strong correlation between visual attention and perceptual quality, many methods attempt to use human saliency information for image quality assessment. Although this me…
Spatiotemporal Pattern Mining for Nowcasting Extreme Earthquakes in Southern California
Bo Feng, Geoffrey C. Fox
Geoscience and seismology have utilized the most advanced technologies and equipment to monitor seismic events globally from the past few decades. With the enormous amount of data,…
CryptoGRU: Low Latency Privacy-Preserving Text Analysis With GRU
Bo Feng, Qian Lou, Lei Jiang +1
Billions of text analysis requests containing private emails, personal text messages, and sensitive online reviews, are processed by recurrent neural networks (RNNs) deployed on pu…
Glyph: Fast and Accurately Training Deep Neural Networks on Encrypted Data
Qian Lou, Bo Feng, Geoffrey C. Fox +1
Big data is one of the cornerstones to enabling and training deep neural networks (DNNs). Because of the lack of expertise, to gain benefits from their data, average users have to…
Yelp Food Identification via Image Feature Extraction and Classification
Fanbo Sun, Zhixiang Gu, Bo Feng
Yelp has been one of the most popular local service search engine in US since 2004. It is powered by crowd-sourced text reviews and photo reviews. Restaurant customers and business…